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对巴西南部一个来自高畜牧业生产地区的健康单位中住院患者的耐药基因组和肠道微生物群组成进行评估。

Evaluation of the resistome and gut microbiome composition of hospitalized patients in a health unit of southern Brazil coming from a high animal husbandry production region.

作者信息

Coltro Elisa Pires, Cafferati Beltrame Lucas, da Cunha Caroline Ribeiro, Zamparette Caetana Paes, Feltrin Clarissa, Benetti Filho Vilmar, Vanny Patrícia de Almeida, Beduschi Filho Sérgio, Klein Taíse Costa Ribeiro, Scheffer Mara Cristina, Palmeiro Jussara Kasuko, Wagner Glauber, Sincero Thaís Cristine Marques, Zárate-Bladés Carlos Rodrigo

机构信息

Center for Dysbiosis Control (CCDis), Federal University of Santa Catarina, Florianopolis, Brazil.

Laboratory of Immunoregulation (iREG), Department of Microbiology, Immunology and Parasitology, Federal University of Santa Catarina, Florianopolis, Brazil.

出版信息

Front Antibiot. 2025 Jan 17;3:1489356. doi: 10.3389/frabi.2024.1489356. eCollection 2024.

Abstract

INTRODUCTION

Antimicrobial resistance (AMR) poses a significant threat to global public health. The One Health approach, which integrates human, animal, and environmental health, highlights the roles of agricultural and hospital settings in the propagation of AMR. This study aimed to analyze the resistome and gut microbiome composition of individuals from a high-intensity animal husbandry area in the western region of Santa Catarina, Southern Brazil, who were subsequently admitted to the University Hospital in the city of Florianopolis, located in the eastern part of the same state.

METHODS

Rectal swab samples were collected upon admission and discharge. Metagenomic sequencing and resistome analysis were employed to identify antimicrobial resistance genes (ARGs) and their associated bacterial taxa. Additionally, the impact of the hospital environment on the resistome and microbiome profiles of these patients was assessed.

RESULTS

A total of 247 genetic elements related to AMR were identified, with 66.4% of these elements present in both admission and discharge samples. Aminoglycoside resistance genes were the most prevalent, followed by resistance genes for tetracyclines and lincosamides. Notably, unique resistance genes, including and mutations in , were identified at discharge. ARGs were associated with 55 bacterial species, with , harboring the ermB gene. (MLSB), detected in both admission and discharge samples. The most prevalent bacterial families included , Enterobacteriaceae, and . Among these, was the most abundant, with ARGs primarily associated with mutations in the 16S rRNA gene, RNA polymerase subunits, and gyrases.

DISCUSSION

The study revealed a high prevalence of genes related to aminoglycoside and tetracycline resistance, with a notable increase in certain resistance determinants at discharge, likely influenced by extended antimicrobial use. The presence of genes, associated with colistin resistance, in both admission and discharge samples from a single patient highlights a concerning trend in AMR, particularly in relation to animal husbandry. These findings underscore the substantial impact of antimicrobial use on resistance development and the complex dynamics of the resistome in hospital settings. They also emphasize the influence of local factors, such as intensive animal production, on resistance patterns and advocate for ongoing surveillance and policy development to manage multidrug-resistant bacteria eVectively.

摘要

引言

抗菌药物耐药性(AMR)对全球公共卫生构成重大威胁。“同一健康”方法整合了人类、动物和环境卫生,突出了农业和医院环境在AMR传播中的作用。本研究旨在分析巴西南部圣卡塔琳娜州西部地区一个高强度畜牧业地区的个体的耐药基因组和肠道微生物群组成,这些个体随后被送往位于该州东部弗洛里亚诺波利斯市的大学医院。

方法

入院时和出院时采集直肠拭子样本。采用宏基因组测序和耐药基因组分析来鉴定抗菌药物耐药基因(ARGs)及其相关细菌分类群。此外,评估了医院环境对这些患者的耐药基因组和微生物群谱的影响。

结果

共鉴定出247个与AMR相关的遗传元件,其中66.4%的元件在入院和出院样本中均存在。氨基糖苷类耐药基因最为普遍,其次是四环素类和林可酰胺类耐药基因。值得注意的是,在出院时鉴定出了独特的耐药基因,包括[具体基因]和[基因名称]中的突变。ARGs与55种细菌物种相关,其中[细菌名称]携带ermB基因。(MLSB),在入院和出院样本中均检测到。最常见的细菌科包括[细菌科名称]科、肠杆菌科和[细菌科名称]科。其中,[细菌科名称]科最为丰富,ARGs主要与16S rRNA基因、RNA聚合酶亚基和回旋酶中的突变相关。

讨论

该研究揭示了与氨基糖苷类和四环素类耐药相关基因的高流行率,出院时某些耐药决定因素显著增加,可能受延长抗菌药物使用的影响。在一名患者的入院和出院样本中均存在与黏菌素耐药相关的[具体基因]基因,这突出了AMR中一个令人担忧的趋势,特别是与畜牧业相关的趋势。这些发现强调了抗菌药物使用对耐药性发展的重大影响以及医院环境中耐药基因组的复杂动态。它们还强调了当地因素,如集约化动物生产,对耐药模式的影响,并倡导持续监测和制定政策以有效管理多重耐药细菌。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c48/11782142/385c7992d2b0/frabi-03-1489356-g001.jpg

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